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AI agent for mobile app developers

Offline Sync Conflict Test Agent

A suite of offline conflict scenarios that all end in correct merged data, with failures traced to specific rules

Quality controlIT and developmentProduct development
See how it worksGet access
Offline Sync Conflict Test Agent: what goes in, what the agent does and what you get

What it does

A user edits a note on a phone on the train, edits it again on a tablet at home, and one set of changes disappears. This agent reproduces these situations before users find them. It starts two emulators, makes offline edits on each to the same record, then reconnects both and lets the app sync. It checks the final data against the app's conflict rules: no lost edits, no duplicate records and the right winner for each field. Each conflict, loss or duplicate is logged with the exact steps. The agent proposes a fix and reruns all scenarios, since one rule change can break another case. The developer approves the code change. Edge case: deleting on one device while editing on another is a separate scenario.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedYes, continueNoNo 1 STARTS WHEN Sync code changed or release candidate built 2 USES A TOOL Start two emulators with the same account 3 USES A TOOL Make offline edits on each and then reconnect 4 USES A TOOL Read the merged data from both devices 5 CHECKS THE RESULT Do both devices show identical data that matches therules? If not: log the scenario, steps and difference. Back tostep 3. 6 DOES Propose a fix for each failing rule 7 YOU APPROVE Developer approves the code change 8 USES A TOOL Rerun every scenario after the change 9 CHECKS THE RESULT Do all scenarios pass, including the earlier ones? If not: revise the fix that broke a scenario and rerun.Back to step 8. 10 RESULT Scenario report and added tests
Read the steps as a list
  1. Sync code changed or release candidate built
  2. Start two emulators with the same account
  3. Make offline edits on each and then reconnect
  4. Read the merged data from both devices
  5. Do both devices show identical data that matches the rules?If not: log the scenario, steps and difference. Back to step 3.
  6. Propose a fix for each failing rule
  7. Developer approves the code changeThe agent waits here for your OK.
  8. Rerun every scenario after the change
  9. Do all scenarios pass, including the earlier ones?If not: revise the fix that broke a scenario and rerun. Back to step 8.
  10. Scenario report and added tests

How it decides

A scenario passes only when the merged data follows the written rules and no edit disappears without a conflict notice.

  • Include edit-edit, edit-delete, delete-delete and reorder cases
  • Fail any scenario where an edit disappears without a notice
  • Run each scenario 3 times to catch timing differences
  • Add every failure as a permanent test

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Scenario list
  • Conflict rules to enforce
  • Runs per scenario (default 3)
  • Emulator types and OS versions

What keeps you in control

It always asks you first

  • Merging the code change

Hard limits

  • Uses only test accounts and test servers
  • Never merges code

It stops when

  • Done: all scenarios pass
  • Stop: emulators cannot reach the test server

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensThe agent ran 24 scenarios. In an edit-edit case on a shopping list, the phone changed quantity from 2 to 3 offline, and the tablet renamed the item. After reconnecting, the quantity reverted to 2. The agent logged it, and proposed field-level merging. The developer approved it, and the rerun broke a delete-edit case, so the agent adjusted the rule. All 24 then passed.

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